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Impact of climate change on wheat yield and quality in the Yellow River Basin under RCP8.5 during 2020–2050

Advances in Climate Change Research 2022年第3期13卷 397-407页

作者： Xiao-Xu LONG Hui JU Jian-Dong WANG Shi-Hong GONG Guang-Yong LI Institute of environment and Sustainable Development in Agriculture Chinese Academy of Agriculture SciencesBeijing 100081China College of Water Resources&Civil engineering China Agricultural UniversityBeijing 100083China department of Irrigation and Drainage China Institute of Water Resources and Hydropower ResearchBeijing 100048China

Studying the impact of future climate change on the yield and quality of wheat in the Yellow River Basin(YRB)is both essential for rationalizing the utilization of climate resources and ensuring national food *** this study,we employed corrected refined meteorological grid data(30 km×30 km)generated by the Climate-Weather Research and Forecasting model under RCP8.5,coupled with the DSSAT-CERES-Wheat model to predict the impact of climate change on wheat phenology,yield,and grain nitrogen content(GNC)in the YRB from 2020 to *** to the type of wheat variety and planting management in the YRB,we designed five wheat ecological regions(I-V).The results show that from 2020 to 2050,the agro-meteorological resource,involving temperature,solar radiation,and precipitation,would have an overall increasing trend during the wheat growth seasons in the *** growth period of wheat was generally shortened by approximately 8 d,including 6 d less from sowing to anthesis,and 2 d less from anthesis to *** general,the predicted wheat yield showed a decreasing trend in the YRB,with an average reduction of 0.19%over the period from 2020 to 2050 compared with the baseline period from 1975 to 2005,and the spatial variation in wheat yield change was considerably *** the future,the Qing‒Zang Spring Wheat region(V)in the western part of the YRB would be the only region with a yield increase of 35.4%,whereas the Northern Spring Wheat region(I)in the northern part of the YRB would be the region exhibiting the greatest decrease of 9.9%.Moreover,compared with the baseline,the GNC would increase by an average of 2.3%in the YRB,with a significant increase in the southern and central parts during *** GNC increase in the Huang‒Huai Winter Wheat region(III)was the highest with a 12.5%increment,but the Qing‒Zang Spring Wheat region(V)is the only region where GNC would decline,with an average decrease of 18.9%.This study implies that wheat yield and GNC have a

关键词： Yellow river basin Climate change Wheat Yield Grain nitrogen content

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Blockchain and Data Integrity Authentication Technique for Secure Cloud environment

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Intelligent Automation & Soft Computing 2023年第5期36卷 2055-2070页

作者： A.Ramachandran P.Ramadevi Ahmed Alkhayyat Yousif Kerrar Yousif department of Computer Science and engineering University College of EngineeringPanruti607106India department of Electronics and Communication engineering University College of EngineeringBIT CampusAnna UniversityTiruchirapalli620025India College of Technical engineering The Islamic UniversityNajafIraq department of Computer Technical engineering Al-Hadba University CollegeMosulIraq

Nowadays,numerous applications are associated with cloud and user data gets collected globally and stored in cloud *** addition to shared data storage,cloud computing technique offers multiple advantages for the user through different distribution designs like hybrid cloud,public cloud,community cloud and private *** cloud-based computing solutions are highly con-venient to the users,it also brings a challenge i.e.,security of the data ***,in current research paper,blockchain with data integrity authentication technique is developed for an efﬁcient and secure operation with user authentica-tion *** technology is utilized in this study to enable efﬁcient and secure operation which not only empowers cloud security but also avoids threats and ***,the data integrity authentication technique is also uti-lized to limit the unwanted access of data in cloud storage *** major objec-tive of the projected technique is to empower data security and user authentication in cloud computing *** improve the proposed authentication pro-cess,cuckooﬁlter and Merkle Hash Tree(MHT)are *** proposed meth-odology was validated using few performance metrics such as processing time,uploading time,downloading time,authentication time,consensus time,waiting time,initialization time,in addition to storage *** proposed method was compared with conventional cloud security techniques and the outcomes establish the supremacy of the proposed method.

关键词： Blockchain security data integrity authentication cloud computing signature hash tree

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Beating the blues:engineering cryptochrome expression improves soybean yield

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Molecular Plant 2021年第2期14卷 202-204页

作者： Ronald Pierik Plant Ecophysiology Department of BiologyUtrecht UniversityPadualaan 83584 CH Utrechtthe Netherlands

Phytochrome A overexpression can increase harvest index,as was shown 25 years ago in a breakthrough paper on tobacco(Robson et al.,1996).The impact of this important discovery has,however,not been fully *** at high densities often respond strongly to nearby competitors by strong elongation of their internodes and upward bending of their leaves,i.e.,shade *** is crucial for plants to ascertain access to sunlight,and this navigation through vegetation occurs through light cues that are sensed with various photoreceptors.A spectacular sensitivity is displayed by sun-loving plants that can already sense their nearby competitors even before mutual shading occurs and respond through a first acceleration of shoot *** anticipatory response is triggered through red(R):far-red(FR)light-sensitive phytochrome photoreceptors that detect FR light that is reflected by nearby *** the vegetation continues to grow and true shading occurs,there is also a significant depletion of red and blue light,since the latter two are absorbed for photosynthesis in the overhead leaves(reviewed in Pierik and Ballaré,2021).Plants can respond to blue light depletion,especially when integrating it with signaling of FR enrichment in Arabidopsis(de Wit et al.,2016).

关键词： depletion soybean breakthrough

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Materials sustainability for environment： Red-mud treatment

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Frontiers of Chemical Science and engineering 2017年第3期11卷 483-496页

作者： Brajendra Mishra Sumedh Gostu department of Mechanical engineering Worcester Polytechnic Institute Worcester MA 01609-2280 USA department of Material Science and engineering Worcester Polytechnic Institute Worcester MA 01609-2280 USA

Bayer＇s process revolutionized the extraction of aluminum from the bauxite ores. However, the hydrothermal extraction of alumina is associated with the generation of a byproduct, red-mud consisting of undis- solved solids composed of iron oxides, sodium alumino silicates, titania, silica and rare earth elements. The accumulation of red-mud （or bauxite residue） in the world is 30 billion metric tons produced at a rate of 125 million tons per annum （2013）. Utilization of red-mud for constructional purposes, wastewater treatment, metallurgical products, and pigments are listed. Metallurgical processing efforts of red-mud to generate various value added products such as pig iron, direct reduced iron slag wool, magnetite, titania, iron carbides are presented in the article.

关键词： red-mud processing waste management sustainability valorization

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A back-propagation neural-network-based displacement back analysis for the identification of the geomechanical parameters of the Yonglang landslide in China

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Journal of Mountain Science 2017年第9期14卷 1739-1750页

作者： YU Fang-wei PENG Xiong-zhi SU Li-jun Institute of Mountain Hazards and environment Chinese Academy of Sciences Chengdu 610041 China department of Civil engineering Southwest Jiaotong University Chengdu 610031 China CAS Center for Excellence in Tibetan Plateau Earth Sciences Bering 100101 China University of Chinese Academy of Sciences Beijing 100049 China

Xigeda formation is a type of hundredmeter-thick lacustrine sediments of being prone to triggering landslides along the trunk channel and tributaries of the upper Yangtze River in China. The Yonglang landslide located near Yonglang Town of Dechang County in Sichuan Province of China, which was a typical Xigeda formation landslide, was stabilized by anti-slide piles. Loading tests on a loading-test pile were conducted to measure the displacements and moments. The uncertainty of the tested geomechanical parameters of the Yonglang landslide over certain ranges would be problematic during the evaluation of the landslide. Thus, uniform design was introduced in the experimental design,and by which, numerical analyses of the loading-test pile were performed using Fast Lagrangian Analysis of Continua(FLAC3D) to acquire a database of the geomechanical parameters of the Yonglang landslide and the corresponding displacements of the loadingtest pile. A three-layer back-propagation neural network was established and trained with the database, and then tested and verified for its accuracy and reliability in numerical simulations. Displacement back analysis was conducted by substituting the displacements of the loading-test pile to the well-trained three-layer back-propagation neural network so as to identify the geomechanical parameters of the Yonglang landslide. The neuralnetwork-based displacement back analysis method with the proposed methodology is verified to be accurate and reliable for the identification of the uncertain geomechanical parameters of landslides.

关键词： Back-propagation neural network Displacement back analysis Geomechanical parameters Landslide Numerical analysis Uniform design Xigeda formation

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Applying a support vector model to assess land cover changes in the Uvs Lake Basin ecoregion in Mongolia

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Information Processing in Agriculture 2019年第1期6卷 158-169页

作者： Buyan-Erdene Jamsran Chinsu Lin Ishgaldan Byambakhuu Jamsran Raash Khaulenbek Akhmadi department of Forestry and Natural Resources National Chiayi University300 University Rd.ChiayiChiayi 60004TaiwanChina department of environment and Forest engineering School of Engineering and Applied SciencesNational University of MongoliaMongolia Uvs Lake Basin Projected Area Administration Office Uvs ProvinceMongolia Head of Division for Desertification Study Institute of Geography and GeoecologyMongolian Academy of SciencesMongolia

The Uvs Lake Basin in western Mongolia is a natural world heritage site and is known for its diversity in landscape and ***,investigative research has shown that the protected pristine ecotone is suffering land degradation due to global *** order to obtain evidence of the changes over a long-term time scale,serial multi-temporal Landsat images obtained between 1995 and 2015 were used to classify land cover and land cover changes over the Basin ecoregion using a machine learning classification technique,support vector *** showed that the forest land area in 1995 was 1888.48 km^2 which was equivalent to 7.48%of the total area of the study *** forest area showed considerable decrease by 301.36 km^2 during the first decade(1995–2004)and 155.81 km^2 during second decade(2004–2015).A total of 457.17 km^2 or 24.21%of the forest land has been developed,most being changed into *** major driver of such changes was illegal logging,forest fire,and pest *** grassland was changed primarily into bare land during the two *** area of glacier was decreased and primarily changed into water *** contrast,the area of sand in the Basin ecoregion increased dramatically from 65.20 km^2 in 1995 to 318.33 km^2 in 2015 the increase being mostly from the transition of bare *** summary,the drivers of the significant decrease of greenness coverage and increase of sand/bare land areas were the interaction of complicated disturbances in both anthropogenic and natural factors,in which logging,grazing,wind erosion,and global warming were the key causes.

关键词： Land suppression Soil degradation Forest reduction Change analysis Landscape ecology

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Orange G degradation by heterogeneous peroxymonosulfate activation based on magnetic MnFe_(2)O_(4)/α-MnO_(2) hybrid

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Journal of environmental Sciences 2023年第2期124卷 379-396页

作者： Le Thi Thao To Van Nguyen Van Quy Nguyen Ngoc Man Phan Ki Jae Kim Nguyen Nhat Huy Nguyen Trung Dung Faculty of Physical and Chemical engineering Le Quy Don Technical UniversityHanoi 100000Vietnam department of Energy engineering Konkuk UniversitySeoul 05029Korea School of Chemical engineering College of EngineeringSungkyunkwan UniversityJangan-guSuwon 16419Korea Faculty of environment and Natural Resources Ho Chi Minh City University of Technology(HCMUT)Ho Chi Minh City 700000Vietnam Vietnam National University Ho Chi Minh City Linh Trung WardThu Duc CityHo Chi Minh City 700000Vietnam

Wastewater containing an azo dye Orange G(OG)causes massive environmental pollution,thus it is critical to develop a highly effective,environmental-friendly,and reusable catalyst in peroxymonosulfate(PMS)activation for OG *** this work,we successfully applied a magnetic MnFe_(2)O_(4)/α-MnO_(2) hybrid fabricated by a simple hydrothermal method for OG removal in *** characteristics of the hybrid were investigated by Xray diffraction,scanning electron microscopy,energy-dispersive X-ray spectroscopy,Fourier transform infrared spectroscopy,Brunauer–Emmett–Teller method,vibrating sample magnetometry,electron paramagnetic resonance,thermogravimetric analysis,and X-ray photoelectron *** effects of operational parameters(i.e.,catalytic system,catalytic dose,solution pH,and temperature)were *** results exhibited that 96.8% of OG degradation was obtained with MnFe_(2)O_(4)/α-MnO2(1:9)/PMS system in 30 min regardless of solution pH ***,the possible reaction mechanism of the coupling system was proposed,and the degradation intermediates of OG were identified by mass *** radical quenching experiments and EPR tests demonstrated that SO_(4)•̶,O_(2)•̶,and 1O2 were the primary reactive oxygen species responsible for the OG *** hybrid also displayed unusual stability with less than 30%loss in the OG removal after four sequential ***,magnetic MnFe2O4/α-MnO2 hybrid could be used as a high potential activator of PMS to remove orange G and maybe other dyes from wastewater.

关键词： MnFe_(2)O_(4)/α-MnO_(2) Peroxymonosulfate Orange G Catalytic degradation Reusability

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Mining and Integrating Reliable Decision Rules for Imbalanced Cancer Gene Expression Data Sets

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Tsinghua Science and Technology 2012年第6期17卷 666-673页

作者： Hualong Yu 1 , Jun Ni 2 , Yuanyuan Dan 3 , Sen Xu 4 1. School of Computer Science and engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China 2. department of Radiology, Carver College of Medicine, The University of Iowa, Iowa City, IA 52242, USA 3. School of biology and Chemical engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China 4. School of Information engineering, Yancheng Institute of Technology, Yancheng 224051, China School of Computer Science and engineering Jiangsu University of Science and Technology Zhenjiang 212003 China department of Radiology Carver College of Medicine The University of Iowa Iowa City IA 52242 USA School of biology and Chemical engineering Jiangsu University of Science and Technology Zhenjiang 212003 China School of Information engineering Yancheng Institute of Technology Yancheng 224051 China

There have been many skewed cancer gene expression datasets in the post-genomic era. Extraction of differential expression genes or construction of decision rules using these skewed datasets by traditional algorithms will seriously underestimate the performance of the minority class, leading to inaccurate diagnosis in clinical trails. This paper presents a skewed gene selection algorithm that introduces a weighted metric into the gene selection procedure. The extracted genes are paired as decision rules to distinguish both classes, with these decision rules then integrated into an ensemble learning framework by majority voting to recognize test examples; thus avoiding tedious data normalization and classifier construction. The mining and integrating of a few reliable decision rules gave higher or at least comparable classification performance than many traditional class imbalance learning algorithms on four benchmark imbalanced cancer gene expression datasets.

关键词： cancer gene expression data class imbalance paired differential expression genes decision ruleensemble learning majority voting

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Genotypic Variation in Spatial Distribution of Fe in Rice Grains in Relation to Phytic Acid Content and Ferritin Gene Expression

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Rice science 2020年第3期27卷 227-236页

作者： Anurag MISHRA MdSHAMIM MdWASIM Siddiqui Akanksha SINGH Deepti SRIVASTAVA K.N.SINGH department of Plant Molecular biology and Genetic engineering Narendra Deva University of Agriculture and TechnologyKumarganjFaizabadUttar Pradesh 224229India Division of Genetics ICAR-Indian Agricultural Research InstituteNew Delhi 110012India department of Molecular biology and Genetic engineering Dr.Kalam Agricultural CollegeKishanganj(Bihar Agricultural UniversitySabourBhagalpur)Bihar 855107India department of Post-Harvest Technology Bihar Agricultural UniversitySabourBhagalpurBihar 813210India Integral Institute of Agricultural Science and Technology(IIAST)Integral University Kursi RoadDasauliUttar Pradesh 226026India

Rice varieties having high Fe concentration in the endospermic region can be used as a good source for Fe deficit *** this study,303 Oryza sativa varieties and 1 Oryza rufipogon accession were assessed for spatial Fe accumulation in grains by Prussian blue staining *** ferritin protein distribution in grains was visualized by immunohistochemistry,and ferritin expression was assessed in selected rice varieties using semi-quantitative reverse transcription *** popular rice varieties,namely Sarjoo 52,Madhukar and Jalmagna,and the *** variety showed Fe in all the regions of grains,and the highest Fe concentration was observed in the embryo *** high-yielding varieties like Swarna,Swarna Sub 1,CSR13 and NDRR359 had lower Fe concentration in the embryo *** highest Fe concentration was detected in ***(49.8μg/g),followed by Sarjoo 52(26.1μg/g)and Madhukar(25.7μg/g).Phytic acid concentration was the minimum in ***(5.75 mg/g)followed by Sarjoo 52(5.83 mg/g).Western blot and semi-quantitative reverse transcription PCR showed higher expression of ferritin gene in ***,Sarjoo 52 and *** conclusion,*** and Sarjoo 52 had higher Fe concentration in the embryo regions as well as endosperm and aleurone layer,whereas the other varieties had lower Fe concentration in the *** 52 could be used as a donor in the rice breeding program for the generation of new varieties with elevated grain Fe concentration.

关键词： bio-fortification iron accumulation ferritin tissue-specific localization iron deficit population

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Roughness height of submerged vegetation in flow based on spatial structure

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Journal of Hydrodynamics 2018年第4期30卷 754-757页

作者：王伟杰彭文启槐文信渠晓东董飞冯健 State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower Research department of Water environment China Institute of Water Resources and Hydropower Research State Key Laboratory of Water Resources and Hydropower engineering Science Wuhan University

The classic hydraulic resistance formulas, such as those in the Darcy–Weisbach methods, perform well in the hydraulic design with the characteristic roughness height ks smaller than the flow depth, which can be linked with the momentum roughness height based on the turbulent boundary-layer theory with the log-law formulation. However, when the roughness scale is of the same order as the flow depth, the traditional log-law formulation cannot provide satisfactory results because the flow structure is complicated and the vortices in different layers are dominated by various principles, such as the Karman streets near the channel bed, the mixing layer near the vegetation top, and a canonical turbulent boundary layer above the vegetation layer. Thus, the distribution of the streamwise velocity in the vegetated flow is a combination of the velocity profile linked with the dominant vortex and shows significant differences as compared with the traditional log-law distribution. This paper proposes a new characteristic roughness height of vegetation kv by linking vegetation attributes, especially the characteristics of the cross section in the flow within the vegetation. The power law resistance formula is derived based on a large amount of experimental data. Results show that the new formula is applicable to shallow flows with vegetation.

关键词： Vegetation resistance friction factor roughness height spatial structure

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